Dominique Bonte, Research Director at ABI Research, is cited in the german edition of 'Technology Review' in a context that we at United Maps (naturally) monitor quite closely. The Article deals with Open Street Map and its incredibly detailed coverage of inner city regions and urban space at large.
"Diesen Vorsprung wird OSM nach Ansicht von Dominique Bonte vom US-Marktforschungsunternehmen ABIresearch auch behalten. 'Die Fülle von Details, die Fußgänger-Navigation erfordert, übertrifft die für Straßenkarten um den Faktor 10 bis 100. Ich kann nicht sehen, dass Navteq oder Tele Atlas oder irgendeine andere Firma fähig wäre, solch eine Menge von Details zu generieren. Und selbst wenn, dann könnten sie daraus kein Geschäft machen, weil es nicht genug Profit bringen würde', erklärt der 45 Jahre alte Analyst."
(My) rough translation into English:
"OSM will keep that advantage, says Dominique Bonte from the US analyst firm ABIresearch. „The wealth of detail that is needed in pedestrian navigation surpasses that of road maps at a factor of 10 to 100. I can't see that either Navteq or Tele Atlas or any other company are able to generate this amount of detail. And even if someone could, there wouldn't be any business within because there wasn't enough profit.", the 45 year old analyst says."
I sent eMail to Mr Bonte yesterday, expressing a different view.
No reply yet, unfortunately. His blog seems to be in sort of a hibernating status.
However, the statement clearly is wrong - or at least not right. Exactly 'generating (this) amount of data' is, what United Maps aims to: generate the missing detail, filling the grey space in between road networks. Not by walking around on pedestrian paths but by deploying smart software and algorithms. Algorithms even work silently if weather condition are too bad to walk around with GPS-trackers. Could be an advantage.
Mr Bonte's second statement "(...) there wouldn't be any business within because there wasn't enough profit." draws back to the misconception of established production methods, having field researches fill the void.
Well, software is patient and doesn't care for real world conditions, climate, rain or ugly, foggy days. The processes we deploy are quite reliable - even within the current lab phase. We currently have a positive matching rate of over 90%. That's pretty much and the results are astounding. Additionally, the algorithms are largely agnostic of the (conventional) basemaps to handle. As we do not touch or alter data in the basemaps themselves but rather add data in separate tables (oh yes: many of them), both rollback and quality assurance are solved positively. Export to GDF or ESRI shape-format (or any other export format that ArcGis + add-ons support) is a no-brainer.
If I may bother you with more detail, Mr Bonte - just give me call.